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Python or R Experience using Git for version control and scripting in Bash or PowerShell Proactive, problem-solving attitude and ability to work independently and collaboratively in an interdisciplinary
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fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest
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observation data, including drone-based data (RGB, LiDAR, hyperspectral). Strong skills in geospatial and statistical analysis (e.g., GIS, remote sensing software, R/Python). Experience in data preprocessing
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to work with people from different disciplines and backgrounds Programming experience using languages such as Julia, Python, R, etc. At least one of the following: Experience in applying machine learning
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microbiology/bioinformatics or nutrition (essential), experience with metagenomics (desirable), bioinformatics (experience using R or Python), multi-omics, and biochemistry. Communication capability in English
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ecophysiology. You must have good statistical skills, experience with fieldwork, and programming experience (e.g., in R or Python). A good standard of written and spoken English as well as a driver’s license are
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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Zurich Chemist (Senior) – R&D Translational Materials for Implantable Devices 80%-100%, Zurich, fixed-term 23.06.2025 | Wyss Zurich - Project Veltist Postdoctoral Researcher